Abstract: In this article, sparse nonnegative matrix factorization (SNMF) is formulated as a mixed-integer bicriteria optimization problem for minimizing matrix factorization errors and maximizing ...
Abstract: Deep matrix factorization (DMF) has the capability to discover hierarchical structures within raw data by factorizing matrices layer by layer, allowing it to utilize latent information for ...
[News] Check our new library, PaMO, which converts any mesh into a low-poly, manifold, intersection-free mesh in seconds (CUDA required). It’s perfect as a preprocessing tool for CoACD. import coacd ...
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